{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium  \n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
    "you may not use this file except in compliance with the License.  \n",
    "You may obtain a copy of the License at  \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;http://www.apache.org/licenses/LICENSE-2.0  \n",
    "Unless required by applicable law or agreed to in writing, software  \n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
    "See the License for the specific language governing permissions and  \n",
    "limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spleen segmentation inference with Triton and Monai\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false,
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import tritonclient.utils as tu\n",
    "import tritonclient.http as httpclient\n",
    "\n",
    "import numpy as np\n",
    "import os\n",
    "import shutil\n",
    "from uuid import uuid4\n",
    "from monai.config import print_config\n",
    "from monai.transforms import LoadImage\n",
    "import tempfile\n",
    "from monai.apps import download_and_extract\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "\n",
    "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable.  \n",
    "This allows you to save results and reuse downloads.  \n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/tmp/tmp161vuacq\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "if directory is not None:\n",
    "    os.makedirs(directory, exist_ok=True)\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download dataset\n",
    "\n",
    "Downloads and extracts the dataset.\n",
    "The dataset comes from http://medicaldecathlon.com/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Task09_Spleen.tar: 1.50GB [06:25, 4.18MB/s]                                                                               "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-02-22 03:51:52,433 - INFO - Downloaded: /tmp/tmp161vuacq/Task09_Spleen.tar\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-02-22 03:51:54,898 - INFO - Verified 'Task09_Spleen.tar', md5: 410d4a301da4e5b2f6f86ec3ddba524e.\n",
      "2022-02-22 03:51:54,901 - INFO - Writing into directory: /tmp/tmp161vuacq.\n"
     ]
    }
   ],
   "source": [
    "resource = \"https://msd-for-monai.s3-us-west-2.amazonaws.com/Task09_Spleen.tar\"\n",
    "md5 = \"410d4a301da4e5b2f6f86ec3ddba524e\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"Task09_Spleen.tar\")\n",
    "data_dir = os.path.join(root_dir, \"Task09_Spleen\")\n",
    "if not os.path.exists(data_dir):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "infer_file = os.path.join(data_dir, \"imagesTs/spleen_7.nii.gz\")\n",
    "nifti_files = [infer_file]\n",
    "print(len(nifti_files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Execute a typical inference process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 512, 512, 114)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_name = \"spleen_seg\"\n",
    "with httpclient.InferenceServerClient(\"localhost:18100\") as client:\n",
    "    image_bytes = b\"\"\n",
    "    for i, nifti_file in enumerate(nifti_files):\n",
    "        image = LoadImage(reader=\"NibabelReader\", image_only=True, dtype=np.float32)(nifti_file)\n",
    "        input0_data = np.expand_dims(image.array, axis=0)\n",
    "        print(input0_data.shape)\n",
    "        inputs = [\n",
    "            httpclient.InferInput(\"INPUT0\", input0_data.shape, tu.np_to_triton_dtype(input0_data.dtype)),\n",
    "        ]\n",
    "        inputs[0].set_data_from_numpy(input0_data)\n",
    "        outputs = [httpclient.InferRequestedOutput(\"MASK\"), httpclient.InferRequestedOutput(\"CONTOUR\")]\n",
    "        response = client.infer(\n",
    "            model_name,\n",
    "            inputs,\n",
    "            request_id=str(uuid4().hex),\n",
    "            outputs=outputs,\n",
    "        )\n",
    "        result = response.get_response()\n",
    "        result = response.as_numpy(\"MASK\")\n",
    "        plt.figure(\"check\", (20, 4))\n",
    "        plt.subplot(1, 3, 1)\n",
    "        plt.title(f\"image {i}\")\n",
    "        plt.imshow(image[:, :, 57], cmap=\"gray\")\n",
    "        plt.subplot(1, 3, 2)\n",
    "        plt.title(f\"largest {i}\")\n",
    "        plt.imshow(result[0, 0, :, :, 112])\n",
    "        plt.subplot(1, 3, 3)\n",
    "        plt.title(f\"contour {i}\")\n",
    "        result = response.as_numpy(\"CONTOUR\")\n",
    "        plt.imshow(result[0, 0, :, :, 112])\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
